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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer II, Backend - Data Cloud - **Company:** CO-RIPPLING LLC - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $135,000.0 - $225,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Business Logic, Cloud Computing, Data Infrastructure, Data Integrity, Data Retrieval, Data Security, Relational Databases, Query Languages, Distributed Systems, Python (Programming Language), Performance Tuning, Cloud Services, SQL Databases, Backend, Data Lineage, Data Analytics, Data Management, Front End Software Development - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b5d3e94b09aa33e6 ## About the Role * 2+ years of experience in a production environment using Python, Go, or a similar high-scale backend language. * Deep expertise in distributed systems architecture, data modeling, and performance optimization of relational databases. * Experience contributing to systems operating at significant technical and organizational scale. * Strong understanding of CS/algorithms fundamentals and experience with complex project delivery. * Exceptional communication skills with technical and cross-functional stakeholders. ## Description Rippling Data Cloud is a new suite of products that aggregates data from across your company into Rippling, connects it to worker identity, and makes it available for analysis, visualization and action. It preserves and enriches data context to enable precise and accurate answers to your most important and nuanced business questions. It's a complete data stack including data connectors, transformations, visualizations, AI-powered analytics, and even inbound Zero-Copy. It understands how all of that data relates to employees, managers, departments, locations, cost centers, permissions, and historical changes in your ever-changing business. That makes it possible to ask questions that traditional BI systems struggle to answer correctly. Data Cloud as the foundation for Rippling AI Data Cloud and AI are deeply connected in Rippling. Data Cloud is the data infrastructure layer that powers Rippling AI. Here's how they relate: Data Cloud provides the unified data that AI reasons over: Rippling AI leverages the Employee Graph and all platform data (payroll rules, earnings types, deduction logic, permissions, etc.) as its source of truthBecause Rippling is a unified platform rather than stitched-together acquisitions, the data is clean, consistent, and complete which makes AI answers accurate and context-awareAI respects the same permissions model as the rest of the platform, so it only surfaces data the user is authorized to see The Rippling AI unlocks advanced Data Cloud capabilities: AI Dashboards: build dashboards from scratch using natural language prompts Transformations: full publish access Pipelines: ingest data via managed connectors Lineage & Catalog: explore data lineage for reports Advanced features: parameters, SQL queries, and the ability to incorporate third-party data Why this matters Most HR/Finance systems weren't built for AI. Their data is messy and fragmented. Rippling AI is described as the first "context-aware, senior analyst" for HR and Finance teams because it sits on top of a unified data model (Data Cloud + Employee Graph) that actually understands your business logic end-to-end. What We Build The team is focused on the following core domains: Analytics - Focuses on the reporting and dashboarding products that let users visualize and analyze data within Rippling. Data Access - Owns the query engine (RQL - Rippling Query Language) that powers data retrieval across the platform. Includes sub-teams for query execution, ingestion, and history. Data Management - Owns the metadata and data catalog layer - how data assets are discovered, governed, and documented. Ingest & Prep - Responsible for bringing external data into Rippling - includes Managed Connectors (pre-built integrations to third-party systems) and Transformations (data shaping and preparation)., * Own the design and implementation of core backend services and APIs that power critical product capabilities and complex business logic. * Ensure all systems are built for high-volume scale, reliability, and security, making strategic decisions about infrastructure and data integrity. * Work seamlessly with product, frontend, and platform teams to translate feature goals into robust, high-performance technical solutions. * Elevate the team's technical standards, lead code and design reviews, and mentor engineers on backend best practices. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [20 Essential Tools For Backend Development](https://www.wearedevelopers.com/magazine/218-20-essential-tools-for-backend-development) - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Backend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/196-backend-developer-salary-in-germany-2023)